Homo sapiens
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: GSE29890
PROVIDER: PRJNA142367 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE25552: microRNA epxression patterns can discriminate between patients with oligometastatic and polymetastatic progression: tissues GSE25967: microRNA epxression patterns can discriminate between patients with oligometastatic and polymetastatic progression: cell lines Refer to individual Series
2010-12-09 | E-GEOD-25968 | biostudies-arrayexpress
Project description:microRNA epxression patterns can discriminate between patients with oligometastatic and polymetastatic progression
| PRJNA135439 | ENA
Project description:microRNA epxression patterns can discriminate between patients with oligometastatic and polymetastatic progression: tissues
| PRJNA142645 | ENA
Project description:Gene expression patterns in blood leukocytes discriminate patients with acute infections
| PRJNA100555 | ENA
Project description:Background Cancer staging and treatment presumes a division into localized or metastatic disease. We proposed an intermediate state defined by ≤5 cumulative metastasis(es), termed oligometastases. In contrast to widespread polymetastases, oligometastatic patients may benefit from metastasis-directed local treatments. However, many patients who initially present with oligometastases progress to polymetastases. Predictors of progression could improve patient selection for metastasis-directed therapy. Methods Here, we identified patterns of microRNA expression of tumor samples from oligometastatic patients treated with high-dose radiotherapy. Results Patients who failed to develop polymetastases are characterized by unique prioritized features of a microRNA classifier that includes the microRNA-200 family. We created an oligometastatic-polymetastatic xenograft model in which the patient-derived microRNAs discriminated between the two metastatic outcomes. MicroRNA-200c enhancement in an oligometastatic cell line resulted in polymetastatic progression. Conclusions These results demonstrate a biological basis for oligometastases and a potential for using microRNA expression to identify patients most likely to remain oligometastatic after metastasis-directed treatment.
2010-11-25 | GSE25552 | GEO
Project description:The DNA methylation patterns associated with the development and progression of cancer. The aim of the present study was to identify novel methylation markers that can discriminate between normal and Non-muscle-invasive bladder cancer (NMIBC), and between good and poor prognosis using microarray analysis of DNA methylation and RNA expression patterns in NMIBC patients. From the 24 matched microarray-based DNA methylation and gene expression profiling data set, tumor specific hypermethylated genes were selected and clinical relevance of these genes were verified by quantitative PQS analyses. Methylation statues of several genes were significantly associated with decreased gene expression levels and aggressive clinicopathological characteristics. In multivariate regression analyses, hypermethylation of these genes were the independent predictors of recurrence and progression.
2013-05-03 | GSE37816 | GEO
Project description:The DNA methylation patterns associated with the development and progression of cancer. The aim of the present study was to identify novel methylation markers that can discriminate between normal and Non-muscle-invasive bladder cancer (NMIBC), and between good and poor prognosis using microarray analysis of DNA methylation and RNA expression patterns in NMIBC patients. From the 24 matched microarray-based DNA methylation and gene expression profiling data set, tumor specific hypermethylated genes were selected and clinical relevance of these genes were verified by quantitative PQS analyses. Methylation statues of several genes were significantly associated with decreased gene expression levels and aggressive clinicopathological characteristics. In multivariate regression analyses, hypermethylation of these genes were the independent predictors of recurrence and progression.
2013-05-03 | GSE37815 | GEO
Project description:We previously proposed a clinically meaningful intermediate metastatic state defined by a limited number of new metastases (≤5) after 3 months of follow-up, termed oligometastasis that has the curative potential by local cancer treatments as in contrast to the incurable widespread polymetastatic dissemination. While animal models of polymetastasis exist and this phenotype can be further enhanced upon serial in vivo passage, animal models of oligometastasis are not available. Here, we report the creation of an oligometastasis model of MDA-MB-435 human tumor in nude mice in which the oligometastatic phenotype exhibits stability during successive in vivo testing, and satisfies the criteria of ≤ 5 total body macroscopic metastases definition of the human cancer oligometastatic state. In parallel, we also developed an MDA-MB-435 polymetastatic model in which the polymetastatic dissemination pattern was either poly-foci at lung, or involved multiple anatomic sites including lung, heart, muscle, ovaries, kidney, brain and pleura. We have conducted microRNA expression profiling of cell lines derived from distinct lungs of oligo- and poly-metastatic animals. Animal model-derived microRNA expression features that discriminate oligometastatic cell lines from those of polymetastases accurately identify oligometastatic patients who failed to develop widespread metastases (P=0.005). These results demonstrate the clinical relevance of the oligo- and polymetastatic animal models we have developed and their potential in elucidating the molecular underpinnings of oligometastasis progression. We developed a stable human tumor (MDA-MB-435-GFP) xenograft model of oligometastatic and polymetastatic progression by conducting three consecutive rounds of experimental lung colonization assays. In the first round, we generated oligometastases-like lung derivative MDA-MB-435-L1-GFP (L1) or polymetastases-like MDA-MB-435-L1Mic-GFP (L1Mic) cell lines. We subsequently generated three oligometastatic L1 lung cell lines as well as four polymetastatic L1Mic lung cell lines from seven distinct animals of the second in vivo passage for further biological characterization and for microRNA expression analysis.
2011-05-21 | E-GEOD-29430 | biostudies-arrayexpress
Project description:Extracellular vesicles (EVs) play a crucial role in facilitating intercellular communication. The microRNA profiles carried by EVs often exhibit variations between tumor patients and healthy individuals, making them promising biomarkers. These biomarkers are implicated in oncogenic processes and tumor metastasis upon uptake by recipient cells. To investigate the impact of EV biomarkers on tumorigenesis, we exposed HCT-116 cell lines to EVs isolated from the serum of both tumor patients and healthy individuals. In comparison to cell lines treated with extracellular vesicles (EVs) from healthy individuals and blank controls, cell lines treated with EVs from HCC sources exhibit significant alterations in the expression of certain genes associated with pathways related to liver cancer. Our findings shedlight on the intricate interplay between EVs and tumor progression.
2024-05-12 | GSE266634 | GEO
Project description:Background: Many strategies to define subtypes and treat cancer relies on a presumption of either localized or widespread (poly)metastatic disease. We proposed an intermediate state of metastasis termed oligometastasis(es) characterized by limited metastatic progression and amenable to treatment by localized methods e.g. surgery or radiotherapy. Methods: To understand the biological basis of oligometastatic and polymetastatic progression, we analyzed microRNA expression patterns from lung tumor samples of patients with less than five metastases at first metastasis presentation and treated with metastasis-directed surgery. Results: Patients were stratified into four subgroups of oligo- and poly-metastatic progression based on the rate of metastatic progression over follow-up period. We prioritized microRNAs between the extremes of oligo- vs. poly-metastatic progression and validated their capacity to distinguish these phenotypes and predict survival in an independent validation dataset. Conclusions: Our results provide further evidence for the biological underpinnings of oligometastasis(es) and potential microRNA candidates to predict progression trajectories of patients and optimize corresponding metastasis-directed treatment.
2012-06-13 | GSE38698 | GEO